> **来源：[研报客](https://pc.yanbaoke.cn)** # AI in Logistics: Shaping the Future of Work ## Core Content This report explores how artificial intelligence (AI) is transforming the logistics industry, focusing on the intersection of technology and human capital. It draws insights from the Adecco Group's research on the Global Workforce of the Future and Business Leaders, highlighting the need for organizations to adapt their talent strategies to keep pace with AI-driven changes. ## Key Findings - **AI Growth**: The AI-driven logistics market was valued at \$24 billion in 2024 and is projected to reach over \$740 billion by 2034, with a CAGR exceeding 40%. - **Workforce Impact**: AI is reshaping roles, particularly in warehouses, reducing manual tasks and increasing the demand for tech-enabled skills. - **Future-Ready Organizations**: Only 2% of logistics companies are considered 'future-ready', characterized by adaptability, investment in skills development, and structured AI approaches. - **Employee Sentiment**: - 81% of logistics workers believe AI is creating more jobs. - 77% are comfortable working with AI. - 45% feel a strong sense of purpose due to AI's impact on their work. - The AI trust score in logistics is 4.36 out of 10, slightly below the global average of 4.5. - **Training and Development**: Only 51% of logistics organizations provide formal AI upskilling, and 42% do not offer any training to reskill or upskill employees. - **Leadership Challenges**: - 57% of logistics companies are running "future of work" labs. - 34% of leaders expect employees to adapt to AI, indicating a lack of clear AI strategies. - 23% of executives do not have an AI policy. ## Emerging Opportunities - **Automation and Efficiency**: AI is automating warehouse inventories, optimizing delivery routes, and enhancing real-time tracking, leading to leaner and more cost-efficient logistics. - **New Roles**: AI is creating new roles and opportunities in data analysis, AI integration, and tech-enabled operations. - **Talent Scarcity**: There is a growing demand for AI and data skills, which is outpacing supply. Companies need to invest in training to attract and retain talent. - **Location Strategy**: Relocating logistics hubs to areas with better access to skilled workers could help manage AI adoption and workforce challenges. - **Resilience and Agility**: AI can help logistics companies become more agile, resilient, and competitive by improving decision-making and operational efficiency. ## Employee Perspective - **Adaptation and Trust**: Employees are generally optimistic about AI's role in the workplace but require transparency and involvement in the transition. - **Purpose and Engagement**: Understanding how AI affects their work helps employees feel a stronger sense of purpose, which is key to retention. - **Time Savings**: On average, employees save 2 hours a day by using AI, but only 35% can confidently measure this impact. - **Collaboration**: 77% of employees are comfortable working alongside AI agents, indicating a readiness to collaborate with technology. ## Employer Perspective - **Need for Adaptation**: Employers recognize the need to adapt to AI's impact on operations and talent strategy. - **Talent Strategy**: Traditional recruitment and retention methods are no longer sufficient. Companies must invest in workforce development and upskilling. - **Leadership Role**: Leaders must be equipped with AI capabilities and demonstrate digital fluency to drive successful AI integration. - **Policy and Strategy**: Only 23% of logistics organizations have an AI policy, and many are struggling with the complexity of AI adoption. ## Five Steps to Becoming Future-Ready 1. **Build Trust with Employees** - Involve employees in AI implementation and communicate clearly about its impact. - Address concerns and provide safeguards to build confidence. 2. **Build Digital Fluency from the Top Down** - Train leaders in AI and future-ready skills. - Use AI literacy as a leadership incentive. 3. **Support Talent to Upskill and Adapt** - Encourage and facilitate upskilling through targeted programs. - Promote non-linear career paths and internal mobility. 4. **Strengthen Data Foundations** - Use AI to improve recruitment, personalize training, and enhance mobility strategies. - Ensure data is standardized and reliable for AI decision-making. 5. **Measure Progress** - Track AI adoption, employee engagement, and skill development. - Use dashboards to monitor the impact of AI initiatives on both business and employee outcomes. ## Leading with Humanity - **Human-Centric Leadership**: AI adoption must be paired with human-centered leadership to ensure successful transformation. - **Collaboration Over Replacement**: AI should support, not replace, workers by streamlining tasks and enabling more strategic roles. - **Reskilling Responsibility**: Employers have a duty to support existing staff through upskilling and reskilling, ensuring no one is left behind. - **Future Workforce**: The logistics industry must attract new talent with modern work environments and opportunities, while retaining current employees through purpose and development. ## Giving You the Agility Advantage - **Adecco's Role**: The Adecco Group helps organizations become agile by integrating people and technology. - **Strategic Approach**: By focusing on trust, digital fluency, and continuous learning, companies can leverage AI to enhance competitiveness and adaptability. - **Call to Action**: The report urges logistics companies to act now to avoid losing talent, trust, and agility in the face of AI-driven change. ## Summary The logistics sector is undergoing a significant transformation due to AI, which is enhancing efficiency, productivity, and decision-making. However, the shift is also changing the nature of work, requiring new skills and a more human-centric approach. Employers must invest in training, transparency, and structured AI strategies to retain talent and build trust. Only a small percentage of logistics companies are currently future-ready, highlighting the urgency of adapting to AI's impact. The report emphasizes that while AI can drive innovation, it is the people and their development that will ultimately determine the success of the industry in the AI era.